About this role
The team is seeking a skilled Data Engineer to join their team. The ideal candidate will have a strong background in database development and data pipeline management, with a focus on optimizing data processes and ensuring data integrity.
Key Responsibilities:
- Develop and maintain databases and data warehouses, utilizing SQL for efficient query design.
- Assist in building and maintaining data pipelines for ETL processes using Azure tools such as Data Factory, Databricks, and Storage Accounts.
- Work with Snowflake environments to manage and optimize data storage and retrieval.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
- Implement best practices for data governance and security.
- Monitor and troubleshoot data pipeline performance issues.
Required Skills & Qualifications:
- Strong proficiency in SQL and experience with database design.
- Familiarity with Azure services, including Data Factory, Databricks, and Data Lakehouse.
- Experience with Snowflake and data warehousing concepts.
- Knowledge of data modeling and ETL processes.
- Ability to work collaboratively in a team environment and communicate effectively.
Experience:
- 5-8 years of relevant experience in data engineering or a related field.
What we offer:
The team provides a dynamic work environment, opportunities for professional growth, and the chance to work on innovative projects that make a difference.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.